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title
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Jon Barron
updated
2026-01-06 09:11:38
raw text
GitHub  /  LinkedIn  /  Google Scholar Research My research interests revolve around understanding deep neural networks, specifically interpretability and bias mitigation. Your browser does not support the video tag. Debiasing Convolutional Neural Networks via Meta Orthogonalization Kurtis Evan David , Qiang Liu , Ruth Fong NeuRIPS , 2020 Workshop on Algorithmic Fairness through the Lens of Causality and Interpretability (AFCI) arXiv / poster / code / thesis (full version) We show that we can recreate early work in debiasing word embeddings within convolutional neural networks using an extra meta step. We evaluate on a multitude of conditions and show it to be competitive to adversarial debiasing methods. GANchors: Realistic Image Perturbations for Anchors Using Generative M...
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